Authentication Camera Control Using Luminance Difference Feedback
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Solution Overview
Problem
Existing camera control systems require a significant amount of time to adjust the image state for face authentication when the image conditions change rapidly, and using AI for control parameters increases calculation cost and processing time.
Innovation Solution
A camera control apparatus that determines areas of interest in multiple images and calculates differences between these areas to adjust control parameters such that the sum of these differences falls within a predetermined range, allowing rapid adjustment to optimal image conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AI is used to calculate control parameters for camera adjustment, then the image quality for authentication is improved, but the calculation cost and processing time increase significantly
Solution Approach 1:
The patent replaces expensive and time-consuming AI calculations with inexpensive, simple mathematical operations. Instead of using complex AI algorithms to determine control parameters, the system uses basic arithmetic calculations based on luminance differences between images, achieving the same control objective with minimal computational resources and processing time
Solution Approach 2:
The patent substitutes the 'mechanical system' of AI computation with a simpler mathematical model. By replacing AI-based parameter calculation with direct luminance difference computation, the system eliminates the need for complex processing while maintaining effective camera control for authentication imaging
2Measurement precision
If the camera control system adjusts control parameters when image conditions change rapidly, then the image state can reach optimum for authentication, but the adjustment time becomes excessively long
Solution Approach 1:
The patent directly changes control parameters based on luminance difference calculations without iterative adjustment. By computing the luminance difference between current and reference images and directly translating this difference into control parameter adjustments, the system achieves rapid convergence to optimal image state without prolonged adjustment periods
Solution Approach 2:
The patent implements a feedback mechanism where the luminance difference between images serves as the control signal. The system continuously monitors image luminance, calculates the difference from the reference state, and uses this feedback to adjust control parameters, enabling rapid and accurate response to changing image conditions
Data Source
AI summary
An object of the present disclosure is to provide a camera control apparatus, a control method, and a non-transitory computer readable medium capable of bringing the state of an image into an optimum state for authentication in a shorter time even when the state of the image has changed rapidly. A camera control apparatus according to the present disclosure includes: area determination means for determining a part of a first image including an authentication target as a first area, the first image being obtained by capturing a nearby environment, determining a part of a second image including the authentication target as a second area, the second image being obtained by setting a control parameter of the camera control apparatus so that a state of an image of the authentication target becomes an optimum state for authentication of the authentication target and then capturing the nearby environment.